- Mastering Clojure Data Analysis
- Table of Contents
- Mastering Clojure Data Analysis
- Credits
- About the Author
- About the Reviewers
- www.PacktPub.com
- Preface
- 1. Network Analysis – The Six Degrees of Kevin Bacon
- 2. GIS Analysis – Mapping Climate Change
- 3. Topic Modeling – Changing Concerns in the State of the Union Addresses
- 4. Classifying UFO Sightings
- 5. Benford's Law – Detecting Natural Progressions of Numbers
- 6. Sentiment Analysis – Categorizing Hotel Reviews
- 7. Null Hypothesis Tests – Analyzing Crime Data
- Introducing confirmatory data analysis
- Understanding null hypothesis testing
- Understanding burglary rates
- Exploring the data
- Conducting the experiment
- Formulating an initial hypothesis
- Stating the null and alternative hypotheses
- Identifying the statistical assumptions in the sample
- Determining which tests are appropriate
- Selecting the significance level
- Determining the critical region
- Calculating the test statistic and its probability
- Deciding whether to reject the null hypothesis or not
- Interpreting the results
- Summary
- 8. A/B Testing – Statistical Experiments for the Web
- 9. Analyzing Social Data Participation
- Setting up the project
- Understanding the analyses
- Understanding social network data
- Understanding knowledge-based social networks
- Introducing the 80/20 rule
- Matching the 80/20 rule
- Looking for the 20 percent of questioners
- Looking for the 20 percent of respondents
- Combining ranks
- Finding the up-voted answers
- Processing the answers
- Setting up
- Training sets and Test sets
- Evaluating the outcome
- Summary
- Setting up the project
- 10. Modeling Stock Data
- Index
Eric Rochester enjoys reading, writing, and spending time with his wife and kids. When he's not doing these things, he likes to work on programs in a variety of languages and platforms. Currently, he is exploring functional programming languages, including Clojure and Haskell. He has also written Clojure Data Analysis Cookbook, Packt Publishing. He works at the Scholars' Lab library at the University of Virginia, helping the professors and graduate students of humanities realize their digitally informed research agendas.
I'd like to thank almost everyone. My technical reviewers proved invaluable. Also, thank you to the editorial staff at Packt Publishing. This book is much stronger for all of their feedback, and any remaining deficiencies are mine alone.
Thank you to Bethany Nowviskie and Wayne Graham. They've made the Scholars' Lab a great place to work at; they have interesting projects and give us space to explore our own interests as well.
A special thank you to Jackie, Melina, and Micah. They've been exceptionally patient and supportive while I worked on this project. Without them, it wouldn't be worth it.
-
No Comment